Performance Simulations of Different Energy Flexibility Sources in a Building with the Electrical Grid

Reino Ruusu, Sunliang Cao, Ala Hasan

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

    Abstract

    In this paper, simulations of the performance of a building that has different energy flexibility sources is conducted. The building is a simulated single-family house located in Helsinki-Finland. The building’s energy system components include on-site energy generation from renewable energy (PV panels, solar thermal collector and a small wind turbine), energy storage (electric battery and a hot-water storage tank HWST) and heating devices (ground-source heat pump and electric heater), interacting with a bidirectional electric grid.
    An energy management system (EMS) is developed for optimizing the system’s energy flexibility performance at each time step considering the current states and the future forecast of the system’s energy generation, demand, storage and the electrical grid. The objective function in the studied case is to minimize the operational energy cost. The EMS is a model predictive controller (MPC) based on Successive Linear Programming (SLP), which plans the energy flow for the next 24-h sliding window with 0.1 h time step. The SLP method approximates the scheduling as a linear optimization problem with continuous non-linear constraints.
    In the current study, different HWST volumes and battery capacities are investigated in order to find the effect of the storage capacity on the system’s economic performance. The developed EMS is found to be very fast and efficient for simulations of the whole-year performance of the energy system. It is concluded that increasing the size of the battery is more effective than increasing the size of the HWST. In addition, the larger size of the tank showed an adverse effect on the total yearly income as smaller tanks are found to be more viable. This is mainly due to the used configuration of the HWST that combines both the space heating and domestic hot-water use, in addition to the limitation in the heat pump supply temperature to lower than 60 °C
    Original languageEnglish
    Title of host publicationRenewable Energy and Sustainable Buildings
    Subtitle of host publicationSelected Papers from the World Renewable Energy Congress WREC 2018
    EditorsAli Sayigh
    PublisherSpringer
    Pages507-516
    ISBN (Electronic)978-3-030-18488-9
    ISBN (Print)978-3-030-18487-2
    DOIs
    Publication statusPublished - 23 Sep 2019
    MoE publication typeA3 Part of a book or another research book
    EventWorld Renewable Energy Congress, WREC 2018 - Kingston upon Thames, United Kingdom
    Duration: 29 Jul 20183 Aug 2018

    Publication series

    SeriesInnovative Renewable Energy (INREE)
    ISSN2522-8927

    Conference

    ConferenceWorld Renewable Energy Congress, WREC 2018
    CountryUnited Kingdom
    CityKingston upon Thames
    Period29/07/183/08/18

    Fingerprint

    Energy management systems
    Linear programming
    Electric batteries
    Geothermal heat pumps
    Space heating
    Wind turbines
    Energy storage
    Water
    Scheduling
    Pumps
    Heating
    Controllers
    Economics
    Costs
    Temperature
    Hot Temperature

    Cite this

    Ruusu, R., Cao, S., & Hasan, A. (2019). Performance Simulations of Different Energy Flexibility Sources in a Building with the Electrical Grid. In A. Sayigh (Ed.), Renewable Energy and Sustainable Buildings: Selected Papers from the World Renewable Energy Congress WREC 2018 (pp. 507-516). Springer. Innovative Renewable Energy (INREE) https://doi.org/10.1007/978-3-030-18488-9_40
    Ruusu, Reino ; Cao, Sunliang ; Hasan, Ala. / Performance Simulations of Different Energy Flexibility Sources in a Building with the Electrical Grid. Renewable Energy and Sustainable Buildings: Selected Papers from the World Renewable Energy Congress WREC 2018. editor / Ali Sayigh. Springer, 2019. pp. 507-516 (Innovative Renewable Energy (INREE)).
    @inbook{14c557dd1e034e94aec5749089504cf4,
    title = "Performance Simulations of Different Energy Flexibility Sources in a Building with the Electrical Grid",
    abstract = "In this paper, simulations of the performance of a building that has different energy flexibility sources is conducted. The building is a simulated single-family house located in Helsinki-Finland. The building’s energy system components include on-site energy generation from renewable energy (PV panels, solar thermal collector and a small wind turbine), energy storage (electric battery and a hot-water storage tank HWST) and heating devices (ground-source heat pump and electric heater), interacting with a bidirectional electric grid.An energy management system (EMS) is developed for optimizing the system’s energy flexibility performance at each time step considering the current states and the future forecast of the system’s energy generation, demand, storage and the electrical grid. The objective function in the studied case is to minimize the operational energy cost. The EMS is a model predictive controller (MPC) based on Successive Linear Programming (SLP), which plans the energy flow for the next 24-h sliding window with 0.1 h time step. The SLP method approximates the scheduling as a linear optimization problem with continuous non-linear constraints.In the current study, different HWST volumes and battery capacities are investigated in order to find the effect of the storage capacity on the system’s economic performance. The developed EMS is found to be very fast and efficient for simulations of the whole-year performance of the energy system. It is concluded that increasing the size of the battery is more effective than increasing the size of the HWST. In addition, the larger size of the tank showed an adverse effect on the total yearly income as smaller tanks are found to be more viable. This is mainly due to the used configuration of the HWST that combines both the space heating and domestic hot-water use, in addition to the limitation in the heat pump supply temperature to lower than 60 °C",
    author = "Reino Ruusu and Sunliang Cao and Ala Hasan",
    year = "2019",
    month = "9",
    day = "23",
    doi = "10.1007/978-3-030-18488-9_40",
    language = "English",
    isbn = "978-3-030-18487-2",
    series = "Innovative Renewable Energy (INREE)",
    publisher = "Springer",
    pages = "507--516",
    editor = "Ali Sayigh",
    booktitle = "Renewable Energy and Sustainable Buildings",
    address = "Germany",

    }

    Ruusu, R, Cao, S & Hasan, A 2019, Performance Simulations of Different Energy Flexibility Sources in a Building with the Electrical Grid. in A Sayigh (ed.), Renewable Energy and Sustainable Buildings: Selected Papers from the World Renewable Energy Congress WREC 2018. Springer, Innovative Renewable Energy (INREE), pp. 507-516, World Renewable Energy Congress, WREC 2018, Kingston upon Thames, United Kingdom, 29/07/18. https://doi.org/10.1007/978-3-030-18488-9_40

    Performance Simulations of Different Energy Flexibility Sources in a Building with the Electrical Grid. / Ruusu, Reino; Cao, Sunliang; Hasan, Ala.

    Renewable Energy and Sustainable Buildings: Selected Papers from the World Renewable Energy Congress WREC 2018. ed. / Ali Sayigh. Springer, 2019. p. 507-516 (Innovative Renewable Energy (INREE)).

    Research output: Chapter in Book/Report/Conference proceedingChapter or book articleScientificpeer-review

    TY - CHAP

    T1 - Performance Simulations of Different Energy Flexibility Sources in a Building with the Electrical Grid

    AU - Ruusu, Reino

    AU - Cao, Sunliang

    AU - Hasan, Ala

    PY - 2019/9/23

    Y1 - 2019/9/23

    N2 - In this paper, simulations of the performance of a building that has different energy flexibility sources is conducted. The building is a simulated single-family house located in Helsinki-Finland. The building’s energy system components include on-site energy generation from renewable energy (PV panels, solar thermal collector and a small wind turbine), energy storage (electric battery and a hot-water storage tank HWST) and heating devices (ground-source heat pump and electric heater), interacting with a bidirectional electric grid.An energy management system (EMS) is developed for optimizing the system’s energy flexibility performance at each time step considering the current states and the future forecast of the system’s energy generation, demand, storage and the electrical grid. The objective function in the studied case is to minimize the operational energy cost. The EMS is a model predictive controller (MPC) based on Successive Linear Programming (SLP), which plans the energy flow for the next 24-h sliding window with 0.1 h time step. The SLP method approximates the scheduling as a linear optimization problem with continuous non-linear constraints.In the current study, different HWST volumes and battery capacities are investigated in order to find the effect of the storage capacity on the system’s economic performance. The developed EMS is found to be very fast and efficient for simulations of the whole-year performance of the energy system. It is concluded that increasing the size of the battery is more effective than increasing the size of the HWST. In addition, the larger size of the tank showed an adverse effect on the total yearly income as smaller tanks are found to be more viable. This is mainly due to the used configuration of the HWST that combines both the space heating and domestic hot-water use, in addition to the limitation in the heat pump supply temperature to lower than 60 °C

    AB - In this paper, simulations of the performance of a building that has different energy flexibility sources is conducted. The building is a simulated single-family house located in Helsinki-Finland. The building’s energy system components include on-site energy generation from renewable energy (PV panels, solar thermal collector and a small wind turbine), energy storage (electric battery and a hot-water storage tank HWST) and heating devices (ground-source heat pump and electric heater), interacting with a bidirectional electric grid.An energy management system (EMS) is developed for optimizing the system’s energy flexibility performance at each time step considering the current states and the future forecast of the system’s energy generation, demand, storage and the electrical grid. The objective function in the studied case is to minimize the operational energy cost. The EMS is a model predictive controller (MPC) based on Successive Linear Programming (SLP), which plans the energy flow for the next 24-h sliding window with 0.1 h time step. The SLP method approximates the scheduling as a linear optimization problem with continuous non-linear constraints.In the current study, different HWST volumes and battery capacities are investigated in order to find the effect of the storage capacity on the system’s economic performance. The developed EMS is found to be very fast and efficient for simulations of the whole-year performance of the energy system. It is concluded that increasing the size of the battery is more effective than increasing the size of the HWST. In addition, the larger size of the tank showed an adverse effect on the total yearly income as smaller tanks are found to be more viable. This is mainly due to the used configuration of the HWST that combines both the space heating and domestic hot-water use, in addition to the limitation in the heat pump supply temperature to lower than 60 °C

    U2 - 10.1007/978-3-030-18488-9_40

    DO - 10.1007/978-3-030-18488-9_40

    M3 - Chapter or book article

    SN - 978-3-030-18487-2

    T3 - Innovative Renewable Energy (INREE)

    SP - 507

    EP - 516

    BT - Renewable Energy and Sustainable Buildings

    A2 - Sayigh, Ali

    PB - Springer

    ER -

    Ruusu R, Cao S, Hasan A. Performance Simulations of Different Energy Flexibility Sources in a Building with the Electrical Grid. In Sayigh A, editor, Renewable Energy and Sustainable Buildings: Selected Papers from the World Renewable Energy Congress WREC 2018. Springer. 2019. p. 507-516. (Innovative Renewable Energy (INREE)). https://doi.org/10.1007/978-3-030-18488-9_40